title: Integrating Omics data for signaling pathways, interactome reconstruction, and functional analysis.
abstract: Omics data and computational approaches are today providing a key to disentangle the complex architecture of living systems. The integration and analysis of data of different nature allows to extract meaningful representations of signaling pathways and protein interactions networks, helpful in achieving an increased understanding of such intricate biochemical processes. We here describe a general workflow and relative hurdles in integrating online Omics data and analyzing reconstructed representations by using the available computational platforms.
authors.affiliation: 'L Galvani' Interdept Center, University of Bologna, Bologna, Italy. p.tieri@unibo.it
authors.forename: Paolo
authors.initials: P
authors.lastname: Tieri
authors.forename: Alberto
authors.initials: A
authors.lastname: de la Fuente
authors.forename: Alberto
authors.initials: A
authors.lastname: Termanini
authors.forename: Claudio
authors.initials: C
authors.lastname: Franceschi
mesh_terms: D019295:Computational Biology / Q000379:methods*; D016208:Databases, Factual; D006801:Humans; D019451:Information Management / Q000379:methods*; D016247:Information Storage and Retrieval; D008954:Models, Biological; D016328:NF-kappa B / Q000378:metabolism; D025941:Protein Interaction Mapping; D015398:Signal Transduction; D012984:Software
chemical_list: D016328:NF-kappa B